A Novel Grid Resource Scheduling Model Based on Extended Second Price Sealed Auction

In resource-limited environment, grid users compete for limited resources, and how to guarantee tasks' victorious probabilities is one of the most primary issues that a resource scheduling model cares. In order to solve grid resources scheduling problems, a novel model, namely ESPSA (Extended S...

Full description

Saved in:
Bibliographic Details
Published in:2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming pp. 305 - 310
Main Authors: Qiufen Xia, Weifeng Sun, Zichuan Xu, Mingchu Li
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2010
Subjects:
Algorithm design and analysis
Analytical models
Biological system modeling
extended second price sealed auction
game theory
grid resource scheduling
Hidden Markov models
Load modeling
Prediction algorithms
Predictive models
ISBN:1424494826, 9781424494828
ISSN:2168-3034
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In resource-limited environment, grid users compete for limited resources, and how to guarantee tasks' victorious probabilities is one of the most primary issues that a resource scheduling model cares. In order to solve grid resources scheduling problems, a novel model, namely ESPSA (Extended Second Price Sealed Auction), is proposed. The ESPSA model introduces an analyst entity, and designs analyst's prediction algorithm based on Hidden Markov Model (HMM). In ESPSA model, grid resources are sold through second price sealed auction. Moreover, to achieve high victorious probabilities, the user brokers who are qualified to participate in the auctions will predict other players' bids and then carry out the most beneficial bids. The ESPSA model is simulated based on GridSim toolkit. Simulation results show that the ESPSA model assures a higher victorious probability and superior to other traditional algorithms. Moreover, we analyze the existence of Nash equilibrium based on simulation results.
ISBN:1424494826
9781424494828
ISSN:2168-3034
DOI:10.1109/PAAP.2010.49